About Me

Dr. Armstrong is a researcher at the intersection of software ecosystem sustainability, affective computing, the trustworthiness of safety-critical systems, and software engineering for machine learning applications, including foundational models, AIWare, and Agentware. He mines massive datasets, including software repositories, and applies socio-technical data science techniques to uncover patterns and empirically make informed decisions.

Download CV
Interests
  • Affective Computing
  • Artificial Intelligence
  • Data Science
  • AI Trusthworhiness AI
  • Safety-critical systems
  • SECO Sustaianbility
  • Carbon foorprint/ Climate change
Education

  • PhD SECO Sustaianbility

    Queens University

  • M.A.Sc Data Science

    Polytechnique Montreal

📚 My Research

I am a research scientist at the DEEL project, Polytechnique Montreal. I use mixed-methods research across diverse use cases to explore the Why, How, and What of ecosystem sustainability and the trustworthiness of safety-critical AI systems.

— Please reach out to collaborate 😃

Featured Publications
See all publications
Recent Publications
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming, Mouna Abidi, Ahmed E Hassan (2024). An empirical study of testing machine learning in the wild. ACM Transactions on Software Engineering and Methodology.
PDF Cite Online Appendix
Mina Taraghi, Gianolli Dorcelus, *Armstrong Foundjem*, Florian Tambon, Foutse Khomh (2024). Deep learning model reuse in the huggingface community: Challenges, benefit and trends. IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
PDF Cite Online Appendix
Armstrong Foundjem, Ellis E Eghan, Bram Adams (2023). A Grounded Theory of Cross-community SECOs: Feedback Diversity vs. Synchronization. IEEE Transactions on Software Engineering.
PDF Cite Online Appendix
Moses Openja, Foutse Khomh, Armstrong Foundjem, Zhen Ming, Mouna Abidi, Ahmed E Hassan, Others (2023). Studying the Practices of Testing Machine Learning Software in the Wild. arXiv preprint arXiv:2312.12604.
Cite
Armstrong Foundjem, Eleni Constantinou, Tom Mens, Bram Adams (2022). A mixed-methods analysis of micro-collaborative coding practices in OpenStack. Empirical Software Engineering.
PDF Cite Online Appendix
See all publications
Recent & Upcoming Talks
Leveraging OpenInfra and Open Source GenAI to Address Climate Change
How large language and deep learning models can prevent toxicity such as unconscious biases
ESEC/FSE21 --- Release Synchronization in Software Ecosystems
ICSE'21 --- Onboarding vs. Diversity, Productivity and Quality — Empirical Study of the OpenStack Ecosystem
CHAOSScast

CHAOSScast

See all events
Recent News

✅ Manage your projects

Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!